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Our proposal on AI and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC) receives funding from the NIHR!

    The National Institute for Health Research (NIHR) has decided to fund our proposal on Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC). The project, worth £3.9M over 3-years, will employ around 10 postdoctoral researchers across Informatics, the Usher Institute, the Roslin Institute, GeoSciences and SSPS.

    The overall programme will be led by Bruce Guthrie (PI), with Jacques Fleuriot as the AI Lead in Informatics. The other members of the Informatics team are Sohan Seth and Valerio Restocchi.

    Some project details:

    Long-term conditions are health issues which persist over years, with many people having more than one long-term condition (e.g. having both diabetes and asthma). This is known as multimorbidity and often seriously affects how well people feel and what they are able to do. The aim of the project is to use Artificial Intelligence techniques — spanning areas such as machine learning, network science, knowledge graphs and process mining — along with social science and health service research methods, to create a better understanding of common, disabling patterns of multimorbidity and help improve the quality and safety of care.

    Proter open source software released

      Proter is an open-source discrete event simulation library for workflows, written in Scala. It is now available on GitHub and as a library on Maven Central under the Apache 2.0 license.

      Proter was initially developed for the simulation of logic-based workflows in WorkflowFM in the context of the DigiFlow project. It was then gradually separated into an independent project for general purpose process simulation. We are currently extending its capabilities to support BPMN models and other modern features.

      Jorge Gaete passes his second year PhD review

        Jorge Gaete successfully passed his second year PhD review on Explainable AI for healthcare. His panel consisted of Valerio Restocchi, Petros Papapanagiotou and Jacques Fleuriot. Congratulations to Jorge on becoming a senior PhD student.

        Petros Papapanagiotou presents our HICSS-54 paper

          Video presentation of our paper:

          Papapanagiotou P., Vaughan J., Smola F, and Fleuriot J. (2020). A Real-world Case Study of Process and Data Driven Predictive Analytics for Manufacturing Workflows.

          at the 54th Hawaii International Conference on System Sciences (HICSS-54). This discusses real-world results from the DigiFlow project, where WorkflowFM is used in a manufacturing setting.


          Colleen Charlton’s thesis is one of the outstanding Masters project of 2019/20

            Congratulations to Colleen Charlton, whose thesis entitled Building an Interpretable MachineLearning Classifier for the Prediction of Brain TumourSurvival is one of the outstanding MSc dissertation for the academic year 2019/20. Her project was in collaboration with Neurosurgery colleagues from the Usher Institute and was supervised by Jacques Fleuriot.

            Mark Chevallier passes his second year PhD review

              Mark successfully passed his second year PhD  review on formal verification applied to machine learning. His panel consisted of Pavlos Andreadis, Paul Jackson and Jacques Fleuriot. Congratulations to Mark!